Values of integration between lipidomics and clinical phenomes in patients with acute lung infection, pulmonary embolism, or acute exacerbation of chronic pulmonary diseases: a preliminary study
Abstract Background The morbidity and mortality of patients with critical illnesses remain high in pulmonary critical care units and a poorly understood correlation between alterations of lipid elements and clinical phenomes remain unelucidated. Methods In the present study, we investigated plasma l...
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| Format: | Article |
| Language: | English |
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BMC
2019-05-01
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| Series: | Journal of Translational Medicine |
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| Online Access: | http://link.springer.com/article/10.1186/s12967-019-1898-z |
| _version_ | 1818501661467869184 |
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| author | Danyan Gao Linlin Zhang Dongli Song Jiapei Lv Linyan Wang Shuang Zhou Yanjun Li Tao Zeng Yiming Zeng Jiaqiang Zhang Xiangdong Wang |
| author_facet | Danyan Gao Linlin Zhang Dongli Song Jiapei Lv Linyan Wang Shuang Zhou Yanjun Li Tao Zeng Yiming Zeng Jiaqiang Zhang Xiangdong Wang |
| author_sort | Danyan Gao |
| collection | DOAJ |
| description | Abstract Background The morbidity and mortality of patients with critical illnesses remain high in pulmonary critical care units and a poorly understood correlation between alterations of lipid elements and clinical phenomes remain unelucidated. Methods In the present study, we investigated plasma lipidomic profiles of 30 patients with severe acute pneumonia (SAP), acute pulmonary embolism (APE), and acute exacerbation of chronic pulmonary diseases (AECOPD) or 15 healthy with the aim to compare disease specificity of lipidomic patterns. We defined the specificity of lipidomic profiles in SAP by comparing it to both APE and AECOPD. Analysis of the correlation between altered lipid elements and clinical phenotypes using the lipid-QTL model was then carried out. Results We integrated lipidomic profiles with clinical phenomes measured by score values from the digital evaluation score system and found phenome-associated lipid elements to identify disease-specific lipidomic profiling. The present study demonstrates that lipidomic profiles of patients with acute lung diseases are different from healthy lungs, and there are also disease-specific portions of lipidomics among SAP, APE, or AECOPD. The comprehensive profiles of clinical phenomes or lipidomics are valuable in describing the disease specificity of patient phenomes and lipid elements. The combination of clinical phenomes with lipidomic profiles provides more detailed disease-specific information on panels of lipid elements When compared to the use of each separately. Conclusions Integrating biological functions with disease specificity, we believe that clinical lipidomics may create a new alternative way to understand lipid-associated mechanisms of critical illnesses and develop a new category of disease-specific biomarkers and therapeutic targets. |
| first_indexed | 2024-12-10T20:59:21Z |
| format | Article |
| id | doaj.art-c8887386baa048f7898ad5700b11268f |
| institution | Directory Open Access Journal |
| issn | 1479-5876 |
| language | English |
| last_indexed | 2024-12-10T20:59:21Z |
| publishDate | 2019-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj.art-c8887386baa048f7898ad5700b11268f2022-12-22T01:33:51ZengBMCJournal of Translational Medicine1479-58762019-05-0117112010.1186/s12967-019-1898-zValues of integration between lipidomics and clinical phenomes in patients with acute lung infection, pulmonary embolism, or acute exacerbation of chronic pulmonary diseases: a preliminary studyDanyan Gao0Linlin Zhang1Dongli Song2Jiapei Lv3Linyan Wang4Shuang Zhou5Yanjun Li6Tao Zeng7Yiming Zeng8Jiaqiang Zhang9Xiangdong Wang10Department of Pulmonary Diseases, The First Hospital of Wenzhou Medical UniversityDepartment of Pulmonary Diseases, The First Hospital of Wenzhou Medical UniversityZhongshan Hospital Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics, Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Center for Tumor Diagnosis and Therapy, Jinshan Hospital, Shanghai Medical College, Fudan UniversityDepartment of Pulmonary Diseases, The First Hospital of Wenzhou Medical UniversityZhongshan Hospital Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics, Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Center for Tumor Diagnosis and Therapy, Jinshan Hospital, Shanghai Medical College, Fudan UniversityClinical Center for Molecular Diagnosis and Therapy, The Second Hospital of Fujian Medical UniversityDepartment of Anesthesiology, Center for Clinical Single Cell Biomedicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou UniversityKey Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Chinese Academy ScienceClinical Center for Molecular Diagnosis and Therapy, The Second Hospital of Fujian Medical UniversityDepartment of Anesthesiology, Center for Clinical Single Cell Biomedicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou UniversityDepartment of Pulmonary Diseases, The First Hospital of Wenzhou Medical UniversityAbstract Background The morbidity and mortality of patients with critical illnesses remain high in pulmonary critical care units and a poorly understood correlation between alterations of lipid elements and clinical phenomes remain unelucidated. Methods In the present study, we investigated plasma lipidomic profiles of 30 patients with severe acute pneumonia (SAP), acute pulmonary embolism (APE), and acute exacerbation of chronic pulmonary diseases (AECOPD) or 15 healthy with the aim to compare disease specificity of lipidomic patterns. We defined the specificity of lipidomic profiles in SAP by comparing it to both APE and AECOPD. Analysis of the correlation between altered lipid elements and clinical phenotypes using the lipid-QTL model was then carried out. Results We integrated lipidomic profiles with clinical phenomes measured by score values from the digital evaluation score system and found phenome-associated lipid elements to identify disease-specific lipidomic profiling. The present study demonstrates that lipidomic profiles of patients with acute lung diseases are different from healthy lungs, and there are also disease-specific portions of lipidomics among SAP, APE, or AECOPD. The comprehensive profiles of clinical phenomes or lipidomics are valuable in describing the disease specificity of patient phenomes and lipid elements. The combination of clinical phenomes with lipidomic profiles provides more detailed disease-specific information on panels of lipid elements When compared to the use of each separately. Conclusions Integrating biological functions with disease specificity, we believe that clinical lipidomics may create a new alternative way to understand lipid-associated mechanisms of critical illnesses and develop a new category of disease-specific biomarkers and therapeutic targets.http://link.springer.com/article/10.1186/s12967-019-1898-zAcute pneumoniaPulmonary embolismChronic pulmonary diseasePhenomesLipidomics |
| spellingShingle | Danyan Gao Linlin Zhang Dongli Song Jiapei Lv Linyan Wang Shuang Zhou Yanjun Li Tao Zeng Yiming Zeng Jiaqiang Zhang Xiangdong Wang Values of integration between lipidomics and clinical phenomes in patients with acute lung infection, pulmonary embolism, or acute exacerbation of chronic pulmonary diseases: a preliminary study Journal of Translational Medicine Acute pneumonia Pulmonary embolism Chronic pulmonary disease Phenomes Lipidomics |
| title | Values of integration between lipidomics and clinical phenomes in patients with acute lung infection, pulmonary embolism, or acute exacerbation of chronic pulmonary diseases: a preliminary study |
| title_full | Values of integration between lipidomics and clinical phenomes in patients with acute lung infection, pulmonary embolism, or acute exacerbation of chronic pulmonary diseases: a preliminary study |
| title_fullStr | Values of integration between lipidomics and clinical phenomes in patients with acute lung infection, pulmonary embolism, or acute exacerbation of chronic pulmonary diseases: a preliminary study |
| title_full_unstemmed | Values of integration between lipidomics and clinical phenomes in patients with acute lung infection, pulmonary embolism, or acute exacerbation of chronic pulmonary diseases: a preliminary study |
| title_short | Values of integration between lipidomics and clinical phenomes in patients with acute lung infection, pulmonary embolism, or acute exacerbation of chronic pulmonary diseases: a preliminary study |
| title_sort | values of integration between lipidomics and clinical phenomes in patients with acute lung infection pulmonary embolism or acute exacerbation of chronic pulmonary diseases a preliminary study |
| topic | Acute pneumonia Pulmonary embolism Chronic pulmonary disease Phenomes Lipidomics |
| url | http://link.springer.com/article/10.1186/s12967-019-1898-z |
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